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Dani Kiyasseh
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2020 – today
- 2024
- [i11]Dani Kiyasseh, Aaron Cohen, Chengsheng Jiang, Nicholas Altieri:
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations. CoRR abs/2403.17011 (2024) - 2023
- [j4]Dani Kiyasseh
, Jasper Laca, Taseen F. Haque, Maxwell X. Otiato
, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Quoc-Dien Trinh, Animashree Anandkumar, Andrew J. Hung
:
Human visual explanations mitigate bias in AI-based assessment of surgeon skills. npj Digit. Medicine 6 (2023) - [j3]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j2]Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu
, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato
, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung
:
Surgical gestures as a method to quantify surgical performance and predict patient outcomes. npj Digit. Medicine 5 (2022) - [c4]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals. ICML 2022: 11302-11340 - [i10]Dani Kiyasseh, Rasheed El-Bouri:
Turath-150K: Image Database of Arab Heritage. CoRR abs/2201.00220 (2022) - [i9]Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Jessica H. Nguyen, Christian Wagner, Animashree Anandkumar, Andrew J. Hung:
Quantification of Robotic Surgeries with Vision-Based Deep Learning. CoRR abs/2205.03028 (2022) - 2021
- [c3]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients. ICML 2021: 5606-5615 - [c2]Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen:
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. MICCAI (2) 2021: 13-24 - [c1]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age. NeurIPS 2021: 15557-15569 - [i8]Dani Kiyasseh, Tingting Zhu, David A. Clifton:
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals. CoRR abs/2103.11011 (2021) - 2020
- [j1]Dani Kiyasseh
, Girmaw Abebe Tadesse
, Nhan Le Nguyen Thanh, Le Van Tan
, Louise Thwaites, Tingting Zhu
, David A. Clifton:
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics 24(11): 3226-3235 (2020) - [i7]Dani Kiyasseh, Tingting Zhu
, David A. Clifton:
ALPS: Active Learning via Perturbations. CoRR abs/2004.09557 (2020) - [i6]Dani Kiyasseh, Tingting Zhu
, David A. Clifton:
CLOPS: Continual Learning of Physiological Signals. CoRR abs/2004.09578 (2020) - [i5]Dani Kiyasseh, Tingting Zhu
, David A. Clifton:
SoQal: Selective Oracle Questioning in Active Learning. CoRR abs/2004.10468 (2020) - [i4]Dani Kiyasseh, Tingting Zhu
, David A. Clifton:
CLOCS: Contrastive Learning of Cardiac Signals. CoRR abs/2005.13249 (2020) - [i3]Dani Kiyasseh, Tingting Zhu
, David A. Clifton:
PCPs: Patient Cardiac Prototypes. CoRR abs/2011.14227 (2020) - [i2]Dani Kiyasseh, Tingting Zhu
, David A. Clifton:
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes. CoRR abs/2011.14230 (2020)
2010 – 2019
- 2019
- [i1]Girmaw Abebe Tadesse, Tingting Zhu
, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, LamMinh Yen, H. Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza A. Javed, Dani Kiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton:
Severity Detection Tool for Patients with Infectious Disease. CoRR abs/1912.05345 (2019)
Coauthor Index
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